Overview

Dataset statistics

Number of variables20
Number of observations7400
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 MiB
Average record size in memory160.0 B

Variable types

NUM19
BOOL1

Reproduction

Analysis started2020-08-25 01:47:10.413799
Analysis finished2020-08-25 01:48:10.279095
Duration59.87 seconds
Versionpandas-profiling v2.8.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml

Variables

A1
Real number (ℝ)

Distinct count3739
Unique (%)50.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean211.82635135135135
Minimum-6879.0
Maximum6285.0
Zeros2
Zeros (%)< 0.1%
Memory size57.9 KiB
2020-08-25T01:48:10.329333image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-6879
5-th percentile-2433.15
Q1-495
median159
Q31072
95-th percentile2604.1
Maximum6285
Range13164
Interquartile range (IQR)1567

Descriptive statistics

Standard deviation1486.408003
Coefficient of variation (CV)7.017106197
Kurtosis1.351919458
Mean211.8263514
Median Absolute Deviation (MAD)792
Skewness-0.2301444828
Sum1567515
Variance2209408.75
2020-08-25T01:48:10.433870image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1130.2%
 
22110.1%
 
139110.1%
 
57100.1%
 
-6100.1%
 
4100.1%
 
94100.1%
 
32100.1%
 
-2690.1%
 
-9690.1%
 
8290.1%
 
4790.1%
 
3890.1%
 
290.1%
 
-490.1%
 
4490.1%
 
56280.1%
 
47680.1%
 
2180.1%
 
21480.1%
 
19480.1%
 
6880.1%
 
-3280.1%
 
11180.1%
 
17880.1%
 
Other values (3714)717196.9%
 
ValueCountFrequency (%) 
-68791< 0.1%
 
-63661< 0.1%
 
-61681< 0.1%
 
-57931< 0.1%
 
-57761< 0.1%
 
-57611< 0.1%
 
-54881< 0.1%
 
-54831< 0.1%
 
-53731< 0.1%
 
-53541< 0.1%
 
ValueCountFrequency (%) 
62851< 0.1%
 
60731< 0.1%
 
59351< 0.1%
 
57941< 0.1%
 
57421< 0.1%
 
57161< 0.1%
 
55771< 0.1%
 
55611< 0.1%
 
54971< 0.1%
 
54121< 0.1%
 

A18
Real number (ℝ)

Distinct count3787
Unique (%)51.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean176.54918918918918
Minimum-8778.0
Maximum6896.0
Zeros6
Zeros (%)0.1%
Memory size57.9 KiB
2020-08-25T01:48:10.550862image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-8778
5-th percentile-2557.05
Q1-548.75
median146
Q31066.25
95-th percentile2574.25
Maximum6896
Range15674
Interquartile range (IQR)1615

Descriptive statistics

Standard deviation1531.044344
Coefficient of variation (CV)8.672055367
Kurtosis1.59916375
Mean176.5491892
Median Absolute Deviation (MAD)825.5
Skewness-0.2404826215
Sum1306464
Variance2344096.782
2020-08-25T01:48:10.660301image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
18120.2%
 
7120.2%
 
14110.1%
 
62110.1%
 
3100.1%
 
5100.1%
 
129890.1%
 
-5690.1%
 
8390.1%
 
1190.1%
 
-10190.1%
 
-6890.1%
 
-4780.1%
 
-480.1%
 
280.1%
 
1680.1%
 
3680.1%
 
7480.1%
 
3480.1%
 
4380.1%
 
7880.1%
 
22880.1%
 
-380.1%
 
58980.1%
 
4980.1%
 
Other values (3762)717697.0%
 
ValueCountFrequency (%) 
-87781< 0.1%
 
-74441< 0.1%
 
-72771< 0.1%
 
-63051< 0.1%
 
-62991< 0.1%
 
-59431< 0.1%
 
-56831< 0.1%
 
-54581< 0.1%
 
-54011< 0.1%
 
-53121< 0.1%
 
ValueCountFrequency (%) 
68961< 0.1%
 
68111< 0.1%
 
65221< 0.1%
 
63821< 0.1%
 
62231< 0.1%
 
60861< 0.1%
 
60361< 0.1%
 
58051< 0.1%
 
57791< 0.1%
 
56641< 0.1%
 

A16
Real number (ℝ)

Distinct count3797
Unique (%)51.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean206.32121621621621
Minimum-7121.0
Maximum6905.0
Zeros1
Zeros (%)< 0.1%
Memory size57.9 KiB
2020-08-25T01:48:10.783831image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-7121
5-th percentile-2467.3
Q1-546
median156
Q31085.5
95-th percentile2616.05
Maximum6905
Range14026
Interquartile range (IQR)1631.5

Descriptive statistics

Standard deviation1522.524855
Coefficient of variation (CV)7.379390655
Kurtosis1.563147451
Mean206.3212162
Median Absolute Deviation (MAD)829.5
Skewness-0.2308806268
Sum1526777
Variance2318081.933
2020-08-25T01:48:10.885695image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
5140.2%
 
6120.2%
 
-1110.1%
 
94100.1%
 
290.1%
 
5490.1%
 
3990.1%
 
-4990.1%
 
12690.1%
 
12980.1%
 
14380.1%
 
4680.1%
 
12480.1%
 
13780.1%
 
1780.1%
 
17280.1%
 
6280.1%
 
5380.1%
 
-8980.1%
 
11480.1%
 
-380.1%
 
-3280.1%
 
38880.1%
 
68480.1%
 
1480.1%
 
Other values (3772)718097.0%
 
ValueCountFrequency (%) 
-71211< 0.1%
 
-67791< 0.1%
 
-66621< 0.1%
 
-64791< 0.1%
 
-62441< 0.1%
 
-59081< 0.1%
 
-58561< 0.1%
 
-58191< 0.1%
 
-57351< 0.1%
 
-57211< 0.1%
 
ValueCountFrequency (%) 
69051< 0.1%
 
64651< 0.1%
 
64031< 0.1%
 
63981< 0.1%
 
62251< 0.1%
 
60961< 0.1%
 
59181< 0.1%
 
58531< 0.1%
 
57591< 0.1%
 
57431< 0.1%
 

A2
Real number (ℝ)

Distinct count3779
Unique (%)51.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean225.8222972972973
Minimum-7141.0
Maximum6921.0
Zeros2
Zeros (%)< 0.1%
Memory size57.9 KiB
2020-08-25T01:48:11.002459image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-7141
5-th percentile-2362
Q1-518
median173
Q31109
95-th percentile2612.05
Maximum6921
Range14062
Interquartile range (IQR)1627

Descriptive statistics

Standard deviation1499.317022
Coefficient of variation (CV)6.639366615
Kurtosis1.464640642
Mean225.8222973
Median Absolute Deviation (MAD)825.5
Skewness-0.1674125663
Sum1671085
Variance2247951.531
2020-08-25T01:48:11.106586image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
14170.2%
 
-14120.2%
 
1120.2%
 
68100.1%
 
-58100.1%
 
12100.1%
 
16100.1%
 
298100.1%
 
4790.1%
 
-190.1%
 
-5990.1%
 
6190.1%
 
-890.1%
 
980.1%
 
-10480.1%
 
-17880.1%
 
3880.1%
 
780.1%
 
8280.1%
 
-6680.1%
 
-6180.1%
 
11680.1%
 
23470.1%
 
7670.1%
 
12470.1%
 
Other values (3754)717196.9%
 
ValueCountFrequency (%) 
-71411< 0.1%
 
-67421< 0.1%
 
-60061< 0.1%
 
-60021< 0.1%
 
-58611< 0.1%
 
-58561< 0.1%
 
-58051< 0.1%
 
-57941< 0.1%
 
-57921< 0.1%
 
-54951< 0.1%
 
ValueCountFrequency (%) 
69211< 0.1%
 
67141< 0.1%
 
61731< 0.1%
 
58891< 0.1%
 
58321< 0.1%
 
57961< 0.1%
 
57891< 0.1%
 
57561< 0.1%
 
57011< 0.1%
 
56881< 0.1%
 

A9
Real number (ℝ)

Distinct count3765
Unique (%)50.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean187.04135135135135
Minimum-7184.0
Maximum7487.0
Zeros0
Zeros (%)0.0%
Memory size57.9 KiB
2020-08-25T01:48:11.225391image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-7184
5-th percentile-2538.4
Q1-523.25
median157
Q31069
95-th percentile2622.1
Maximum7487
Range14671
Interquartile range (IQR)1592.25

Descriptive statistics

Standard deviation1534.871303
Coefficient of variation (CV)8.206053324
Kurtosis1.524277447
Mean187.0413514
Median Absolute Deviation (MAD)817
Skewness-0.2640798647
Sum1384106
Variance2355829.917
2020-08-25T01:48:11.332219image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1140.2%
 
27120.2%
 
2120.2%
 
-27120.2%
 
12110.1%
 
61110.1%
 
28110.1%
 
17100.1%
 
4100.1%
 
168100.1%
 
4390.1%
 
-190.1%
 
890.1%
 
690.1%
 
6490.1%
 
8890.1%
 
1180.1%
 
3480.1%
 
1680.1%
 
18280.1%
 
32680.1%
 
25480.1%
 
159680.1%
 
2280.1%
 
-280.1%
 
Other values (3740)716196.8%
 
ValueCountFrequency (%) 
-71841< 0.1%
 
-69051< 0.1%
 
-65911< 0.1%
 
-62791< 0.1%
 
-62261< 0.1%
 
-59221< 0.1%
 
-58941< 0.1%
 
-57921< 0.1%
 
-57811< 0.1%
 
-57171< 0.1%
 
ValueCountFrequency (%) 
74871< 0.1%
 
62781< 0.1%
 
61691< 0.1%
 
60821< 0.1%
 
58211< 0.1%
 
58131< 0.1%
 
57621< 0.1%
 
54591< 0.1%
 
53781< 0.1%
 
53581< 0.1%
 

A6
Real number (ℝ)

Distinct count3774
Unique (%)51.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean200.82054054054055
Minimum-6946.0
Maximum6743.0
Zeros2
Zeros (%)< 0.1%
Memory size57.9 KiB
2020-08-25T01:48:11.452058image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-6946
5-th percentile-2514.15
Q1-522
median151
Q31080
95-th percentile2636.1
Maximum6743
Range13689
Interquartile range (IQR)1602

Descriptive statistics

Standard deviation1512.850454
Coefficient of variation (CV)7.533345195
Kurtosis1.351206913
Mean200.8205405
Median Absolute Deviation (MAD)810
Skewness-0.2431208242
Sum1486072
Variance2288716.497
2020-08-25T01:48:11.555303image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
29130.2%
 
9120.2%
 
134110.1%
 
12110.1%
 
-14100.1%
 
4100.1%
 
8100.1%
 
790.1%
 
-27690.1%
 
-790.1%
 
-2690.1%
 
290.1%
 
9790.1%
 
7180.1%
 
5280.1%
 
19480.1%
 
9180.1%
 
-580.1%
 
-21680.1%
 
4880.1%
 
-480.1%
 
-41880.1%
 
95880.1%
 
1180.1%
 
-180.1%
 
Other values (3749)717396.9%
 
ValueCountFrequency (%) 
-69461< 0.1%
 
-66821< 0.1%
 
-63251< 0.1%
 
-58381< 0.1%
 
-58261< 0.1%
 
-56281< 0.1%
 
-55581< 0.1%
 
-54381< 0.1%
 
-53551< 0.1%
 
-53431< 0.1%
 
ValueCountFrequency (%) 
67431< 0.1%
 
63841< 0.1%
 
63641< 0.1%
 
60991< 0.1%
 
60851< 0.1%
 
57122< 0.1%
 
56411< 0.1%
 
56241< 0.1%
 
54081< 0.1%
 
54041< 0.1%
 

A12
Real number (ℝ)

Distinct count3756
Unique (%)50.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean202.94824324324324
Minimum-7395.0
Maximum6791.0
Zeros1
Zeros (%)< 0.1%
Memory size57.9 KiB
2020-08-25T01:48:11.670968image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-7395
5-th percentile-2428.05
Q1-515
median165
Q31074
95-th percentile2534.15
Maximum6791
Range14186
Interquartile range (IQR)1589

Descriptive statistics

Standard deviation1503.544522
Coefficient of variation (CV)7.408512131
Kurtosis1.714405525
Mean202.9482432
Median Absolute Deviation (MAD)799
Skewness-0.2490493191
Sum1501817
Variance2260646.13
2020-08-25T01:48:11.783204image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-18100.1%
 
-4100.1%
 
-2790.1%
 
10890.1%
 
-990.1%
 
-7690.1%
 
4390.1%
 
-1790.1%
 
-33890.1%
 
4890.1%
 
2290.1%
 
14380.1%
 
1980.1%
 
-50480.1%
 
-4480.1%
 
-580.1%
 
880.1%
 
9280.1%
 
8480.1%
 
-4680.1%
 
-7880.1%
 
-8280.1%
 
-1680.1%
 
31680.1%
 
-3780.1%
 
Other values (3731)718797.1%
 
ValueCountFrequency (%) 
-73951< 0.1%
 
-71141< 0.1%
 
-69331< 0.1%
 
-65111< 0.1%
 
-64061< 0.1%
 
-62591< 0.1%
 
-61531< 0.1%
 
-61271< 0.1%
 
-60091< 0.1%
 
-58891< 0.1%
 
ValueCountFrequency (%) 
67911< 0.1%
 
65611< 0.1%
 
65251< 0.1%
 
64381< 0.1%
 
63521< 0.1%
 
62851< 0.1%
 
62821< 0.1%
 
62161< 0.1%
 
61331< 0.1%
 
61221< 0.1%
 

A4
Real number (ℝ)

Distinct count3757
Unique (%)50.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean219.71635135135136
Minimum-6627.0
Maximum7149.0
Zeros3
Zeros (%)< 0.1%
Memory size57.9 KiB
2020-08-25T01:48:11.904917image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-6627
5-th percentile-2358.25
Q1-512
median152
Q31097
95-th percentile2647.05
Maximum7149
Range13776
Interquartile range (IQR)1609

Descriptive statistics

Standard deviation1490.477489
Coefficient of variation (CV)6.783643912
Kurtosis1.386266347
Mean219.7163514
Median Absolute Deviation (MAD)814.5
Skewness-0.1566452611
Sum1625901
Variance2221523.146
2020-08-25T01:48:12.009969image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
14130.2%
 
2110.1%
 
-18110.1%
 
-312100.1%
 
4100.1%
 
-790.1%
 
790.1%
 
-4590.1%
 
86280.1%
 
-2480.1%
 
-1280.1%
 
3280.1%
 
17880.1%
 
380.1%
 
24680.1%
 
71580.1%
 
-3880.1%
 
-10380.1%
 
6780.1%
 
-2280.1%
 
4280.1%
 
7980.1%
 
880.1%
 
-4280.1%
 
7780.1%
 
Other values (3732)718297.1%
 
ValueCountFrequency (%) 
-66271< 0.1%
 
-65761< 0.1%
 
-65541< 0.1%
 
-61481< 0.1%
 
-56421< 0.1%
 
-55761< 0.1%
 
-53291< 0.1%
 
-51671< 0.1%
 
-51011< 0.1%
 
-50581< 0.1%
 
ValueCountFrequency (%) 
71491< 0.1%
 
71061< 0.1%
 
70971< 0.1%
 
64691< 0.1%
 
62191< 0.1%
 
61611< 0.1%
 
60591< 0.1%
 
56141< 0.1%
 
52611< 0.1%
 
51831< 0.1%
 

A19
Real number (ℝ)

Distinct count3742
Unique (%)50.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean197.1914864864865
Minimum-7554.0
Maximum5726.0
Zeros0
Zeros (%)0.0%
Memory size57.9 KiB
2020-08-25T01:48:12.126648image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-7554
5-th percentile-2419.15
Q1-525.25
median155
Q31075
95-th percentile2519.1
Maximum5726
Range13280
Interquartile range (IQR)1600.25

Descriptive statistics

Standard deviation1471.264266
Coefficient of variation (CV)7.461094249
Kurtosis1.315549127
Mean197.1914865
Median Absolute Deviation (MAD)818
Skewness-0.2745987805
Sum1459217
Variance2164618.539
2020-08-25T01:48:12.232355image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-8150.2%
 
-1120.2%
 
-7100.1%
 
3100.1%
 
2690.1%
 
190.1%
 
9190.1%
 
52290.1%
 
490.1%
 
-7390.1%
 
990.1%
 
-1990.1%
 
290.1%
 
5690.1%
 
111880.1%
 
-11780.1%
 
-1880.1%
 
1480.1%
 
3580.1%
 
25280.1%
 
4880.1%
 
9680.1%
 
7180.1%
 
-14480.1%
 
-12180.1%
 
Other values (3717)717597.0%
 
ValueCountFrequency (%) 
-75541< 0.1%
 
-66741< 0.1%
 
-64081< 0.1%
 
-59061< 0.1%
 
-57861< 0.1%
 
-57721< 0.1%
 
-56841< 0.1%
 
-56631< 0.1%
 
-55192< 0.1%
 
-53421< 0.1%
 
ValueCountFrequency (%) 
57261< 0.1%
 
55441< 0.1%
 
54441< 0.1%
 
53231< 0.1%
 
52531< 0.1%
 
51481< 0.1%
 
51351< 0.1%
 
51261< 0.1%
 
51051< 0.1%
 
50971< 0.1%
 

A17
Real number (ℝ)

Distinct count3725
Unique (%)50.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean219.51567567567568
Minimum-7163.0
Maximum7175.0
Zeros3
Zeros (%)< 0.1%
Memory size57.9 KiB
2020-08-25T01:48:12.351333image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-7163
5-th percentile-2347.05
Q1-513.5
median152
Q31051.25
95-th percentile2695.15
Maximum7175
Range14338
Interquartile range (IQR)1564.75

Descriptive statistics

Standard deviation1491.620966
Coefficient of variation (CV)6.795054436
Kurtosis1.496779502
Mean219.5156757
Median Absolute Deviation (MAD)794
Skewness-0.1218252412
Sum1624416
Variance2224933.105
2020-08-25T01:48:12.642148image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
11130.2%
 
6120.2%
 
-68110.1%
 
3110.1%
 
-6110.1%
 
9110.1%
 
2100.1%
 
12190.1%
 
7190.1%
 
-3190.1%
 
1790.1%
 
-580.1%
 
4280.1%
 
780.1%
 
-10280.1%
 
2280.1%
 
880.1%
 
-480.1%
 
-380.1%
 
-180.1%
 
180.1%
 
-19280.1%
 
-5680.1%
 
17480.1%
 
121980.1%
 
Other values (3700)717396.9%
 
ValueCountFrequency (%) 
-71631< 0.1%
 
-71061< 0.1%
 
-61871< 0.1%
 
-57011< 0.1%
 
-55311< 0.1%
 
-54371< 0.1%
 
-54071< 0.1%
 
-53651< 0.1%
 
-52881< 0.1%
 
-52681< 0.1%
 
ValueCountFrequency (%) 
71751< 0.1%
 
68121< 0.1%
 
64821< 0.1%
 
64241< 0.1%
 
63731< 0.1%
 
58931< 0.1%
 
57921< 0.1%
 
55671< 0.1%
 
55041< 0.1%
 
54771< 0.1%
 

A14
Real number (ℝ)

Distinct count3746
Unique (%)50.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean183.04297297297296
Minimum-7472.0
Maximum7261.0
Zeros3
Zeros (%)< 0.1%
Memory size57.9 KiB
2020-08-25T01:48:12.759750image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-7472
5-th percentile-2381.1
Q1-518.25
median149
Q31054
95-th percentile2516.05
Maximum7261
Range14733
Interquartile range (IQR)1572.25

Descriptive statistics

Standard deviation1485.644927
Coefficient of variation (CV)8.116372361
Kurtosis1.585268289
Mean183.042973
Median Absolute Deviation (MAD)799.5
Skewness-0.3115874556
Sum1354518
Variance2207140.848
2020-08-25T01:48:12.868068image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
3130.2%
 
48110.1%
 
-2110.1%
 
-1100.1%
 
175100.1%
 
-32100.1%
 
49100.1%
 
-8100.1%
 
68100.1%
 
39100.1%
 
10390.1%
 
10890.1%
 
2190.1%
 
2680.1%
 
70880.1%
 
3880.1%
 
1280.1%
 
-380.1%
 
3480.1%
 
60880.1%
 
64680.1%
 
13680.1%
 
-2880.1%
 
-8680.1%
 
-41980.1%
 
Other values (3721)717296.9%
 
ValueCountFrequency (%) 
-74721< 0.1%
 
-67031< 0.1%
 
-63341< 0.1%
 
-63281< 0.1%
 
-62921< 0.1%
 
-61031< 0.1%
 
-60691< 0.1%
 
-60051< 0.1%
 
-59221< 0.1%
 
-58661< 0.1%
 
ValueCountFrequency (%) 
72611< 0.1%
 
64931< 0.1%
 
60311< 0.1%
 
60251< 0.1%
 
57951< 0.1%
 
57481< 0.1%
 
57321< 0.1%
 
56591< 0.1%
 
56261< 0.1%
 
55231< 0.1%
 

A3
Real number (ℝ)

Distinct count3807
Unique (%)51.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean185.41472972972974
Minimum-7734.0
Maximum7611.0
Zeros1
Zeros (%)< 0.1%
Memory size57.9 KiB
2020-08-25T01:48:12.991880image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-7734
5-th percentile-2565
Q1-581.25
median152
Q31058.25
95-th percentile2632
Maximum7611
Range15345
Interquartile range (IQR)1639.5

Descriptive statistics

Standard deviation1542.925029
Coefficient of variation (CV)8.321480344
Kurtosis1.41602459
Mean185.4147297
Median Absolute Deviation (MAD)837
Skewness-0.2370354866
Sum1372069
Variance2380617.645
2020-08-25T01:48:13.116667image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-63130.2%
 
38130.2%
 
4120.2%
 
2120.2%
 
8100.1%
 
10890.1%
 
2290.1%
 
1190.1%
 
105290.1%
 
18690.1%
 
7490.1%
 
790.1%
 
-590.1%
 
-290.1%
 
107680.1%
 
180.1%
 
3480.1%
 
14580.1%
 
-680.1%
 
-10680.1%
 
6880.1%
 
13280.1%
 
-1380.1%
 
-2980.1%
 
-1780.1%
 
Other values (3782)717196.9%
 
ValueCountFrequency (%) 
-77341< 0.1%
 
-68851< 0.1%
 
-61861< 0.1%
 
-61271< 0.1%
 
-60771< 0.1%
 
-58121< 0.1%
 
-57091< 0.1%
 
-56421< 0.1%
 
-55931< 0.1%
 
-55741< 0.1%
 
ValueCountFrequency (%) 
76111< 0.1%
 
69241< 0.1%
 
67581< 0.1%
 
61551< 0.1%
 
61011< 0.1%
 
57491< 0.1%
 
56621< 0.1%
 
56541< 0.1%
 
55641< 0.1%
 
54521< 0.1%
 

A10
Real number (ℝ)

Distinct count3755
Unique (%)50.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean223.8322972972973
Minimum-7232.0
Maximum6757.0
Zeros7
Zeros (%)0.1%
Memory size57.9 KiB
2020-08-25T01:48:13.244497image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-7232
5-th percentile-2362.15
Q1-477.25
median172
Q31081
95-th percentile2612.1
Maximum6757
Range13989
Interquartile range (IQR)1558.25

Descriptive statistics

Standard deviation1483.537928
Coefficient of variation (CV)6.627899308
Kurtosis1.447315046
Mean223.8322973
Median Absolute Deviation (MAD)787
Skewness-0.2569883623
Sum1656359
Variance2200884.785
2020-08-25T01:48:13.353136image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1120.2%
 
1110.1%
 
2100.1%
 
7490.1%
 
16690.1%
 
-590.1%
 
10290.1%
 
12690.1%
 
8490.1%
 
-290.1%
 
1880.1%
 
-2980.1%
 
-13680.1%
 
3580.1%
 
8280.1%
 
4780.1%
 
2580.1%
 
880.1%
 
980.1%
 
5780.1%
 
1180.1%
 
84380.1%
 
580.1%
 
680.1%
 
4580.1%
 
Other values (3730)718497.1%
 
ValueCountFrequency (%) 
-72321< 0.1%
 
-62671< 0.1%
 
-62131< 0.1%
 
-59821< 0.1%
 
-59171< 0.1%
 
-59061< 0.1%
 
-58811< 0.1%
 
-58061< 0.1%
 
-54181< 0.1%
 
-53431< 0.1%
 
ValueCountFrequency (%) 
67571< 0.1%
 
64551< 0.1%
 
62921< 0.1%
 
58861< 0.1%
 
57851< 0.1%
 
55611< 0.1%
 
55411< 0.1%
 
53511< 0.1%
 
51791< 0.1%
 
51651< 0.1%
 

A20
Real number (ℝ)

Distinct count3685
Unique (%)49.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean199.89581081081081
Minimum-6722.0
Maximum7627.0
Zeros5
Zeros (%)0.1%
Memory size57.9 KiB
2020-08-25T01:48:13.475883image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-6722
5-th percentile-2389.3
Q1-505.25
median163
Q31048
95-th percentile2559
Maximum7627
Range14349
Interquartile range (IQR)1553.25

Descriptive statistics

Standard deviation1483.879349
Coefficient of variation (CV)7.423263865
Kurtosis1.692845725
Mean199.8958108
Median Absolute Deviation (MAD)788
Skewness-0.208727203
Sum1479229
Variance2201897.923
2020-08-25T01:48:13.582183image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
16120.2%
 
19110.1%
 
2110.1%
 
-1100.1%
 
32100.1%
 
24890.1%
 
190.1%
 
-4990.1%
 
7290.1%
 
24390.1%
 
590.1%
 
-4490.1%
 
6790.1%
 
-17580.1%
 
380.1%
 
3380.1%
 
27280.1%
 
5180.1%
 
-480.1%
 
70880.1%
 
-1380.1%
 
-10480.1%
 
-8580.1%
 
-7480.1%
 
11880.1%
 
Other values (3660)717897.0%
 
ValueCountFrequency (%) 
-67221< 0.1%
 
-64181< 0.1%
 
-62031< 0.1%
 
-61731< 0.1%
 
-61191< 0.1%
 
-59481< 0.1%
 
-57581< 0.1%
 
-56341< 0.1%
 
-55851< 0.1%
 
-55791< 0.1%
 
ValueCountFrequency (%) 
76271< 0.1%
 
67751< 0.1%
 
65941< 0.1%
 
63871< 0.1%
 
59931< 0.1%
 
59691< 0.1%
 
59481< 0.1%
 
59331< 0.1%
 
58741< 0.1%
 
57921< 0.1%
 

A5
Real number (ℝ)

Distinct count3760
Unique (%)50.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean190.13513513513513
Minimum-7184.0
Maximum6383.0
Zeros0
Zeros (%)0.0%
Memory size57.9 KiB
2020-08-25T01:48:13.704070image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-7184
5-th percentile-2359.1
Q1-548
median148.5
Q31069
95-th percentile2579.2
Maximum6383
Range13567
Interquartile range (IQR)1617

Descriptive statistics

Standard deviation1489.865247
Coefficient of variation (CV)7.835822905
Kurtosis1.427251952
Mean190.1351351
Median Absolute Deviation (MAD)819.5
Skewness-0.252027973
Sum1407000
Variance2219698.454
2020-08-25T01:48:13.807761image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1130.2%
 
14120.2%
 
15110.1%
 
209100.1%
 
-4590.1%
 
-1790.1%
 
2490.1%
 
21890.1%
 
-2490.1%
 
14590.1%
 
-11190.1%
 
1680.1%
 
-780.1%
 
-1480.1%
 
27880.1%
 
280.1%
 
-580.1%
 
24280.1%
 
-9480.1%
 
-3880.1%
 
4280.1%
 
34680.1%
 
-1980.1%
 
8380.1%
 
57680.1%
 
Other values (3735)717997.0%
 
ValueCountFrequency (%) 
-71841< 0.1%
 
-65231< 0.1%
 
-61341< 0.1%
 
-60111< 0.1%
 
-58131< 0.1%
 
-57021< 0.1%
 
-56871< 0.1%
 
-56861< 0.1%
 
-56611< 0.1%
 
-55921< 0.1%
 
ValueCountFrequency (%) 
63831< 0.1%
 
63331< 0.1%
 
62011< 0.1%
 
61841< 0.1%
 
60911< 0.1%
 
60741< 0.1%
 
60321< 0.1%
 
59931< 0.1%
 
59761< 0.1%
 
57551< 0.1%
 

A13
Real number (ℝ)

Distinct count3751
Unique (%)50.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194.59554054054055
Minimum-7096.0
Maximum6403.0
Zeros2
Zeros (%)< 0.1%
Memory size57.9 KiB
2020-08-25T01:48:13.936917image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-7096
5-th percentile-2463
Q1-518.75
median156
Q31065.25
95-th percentile2592
Maximum6403
Range13499
Interquartile range (IQR)1584

Descriptive statistics

Standard deviation1512.382122
Coefficient of variation (CV)7.771925903
Kurtosis1.529880482
Mean194.5955405
Median Absolute Deviation (MAD)795
Skewness-0.2600173341
Sum1440007
Variance2287299.683
2020-08-25T01:48:14.040220image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1120.2%
 
138110.1%
 
78110.1%
 
129100.1%
 
-33100.1%
 
9890.1%
 
5890.1%
 
-4290.1%
 
-6990.1%
 
11790.1%
 
3390.1%
 
1990.1%
 
88280.1%
 
10180.1%
 
40280.1%
 
-280.1%
 
63180.1%
 
2880.1%
 
17480.1%
 
-880.1%
 
-8980.1%
 
680.1%
 
1780.1%
 
-3180.1%
 
11680.1%
 
Other values (3726)717997.0%
 
ValueCountFrequency (%) 
-70961< 0.1%
 
-68731< 0.1%
 
-68311< 0.1%
 
-67531< 0.1%
 
-66151< 0.1%
 
-62271< 0.1%
 
-58131< 0.1%
 
-56421< 0.1%
 
-55321< 0.1%
 
-55261< 0.1%
 
ValueCountFrequency (%) 
64031< 0.1%
 
63971< 0.1%
 
61471< 0.1%
 
59921< 0.1%
 
59241< 0.1%
 
55451< 0.1%
 
55081< 0.1%
 
54641< 0.1%
 
54411< 0.1%
 
54081< 0.1%
 

A8
Real number (ℝ)

Distinct count3695
Unique (%)49.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean222.1135135135135
Minimum-6882.0
Maximum6357.0
Zeros4
Zeros (%)0.1%
Memory size57.9 KiB
2020-08-25T01:48:14.156247image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-6882
5-th percentile-2325.05
Q1-466
median168.5
Q31082
95-th percentile2649.15
Maximum6357
Range13239
Interquartile range (IQR)1548

Descriptive statistics

Standard deviation1481.069081
Coefficient of variation (CV)6.668072814
Kurtosis1.592698309
Mean222.1135135
Median Absolute Deviation (MAD)786.5
Skewness-0.2728131237
Sum1643640
Variance2193565.623
2020-08-25T01:48:14.259996image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
114120.2%
 
2110.1%
 
1110.1%
 
15110.1%
 
-16100.1%
 
16100.1%
 
-52100.1%
 
-2100.1%
 
4890.1%
 
2790.1%
 
1890.1%
 
-590.1%
 
-1390.1%
 
11590.1%
 
8790.1%
 
6690.1%
 
-7490.1%
 
1280.1%
 
680.1%
 
-6180.1%
 
-3480.1%
 
-880.1%
 
11280.1%
 
3180.1%
 
22880.1%
 
Other values (3670)717096.9%
 
ValueCountFrequency (%) 
-68821< 0.1%
 
-64691< 0.1%
 
-63191< 0.1%
 
-62211< 0.1%
 
-62111< 0.1%
 
-61641< 0.1%
 
-60611< 0.1%
 
-60071< 0.1%
 
-59541< 0.1%
 
-59071< 0.1%
 
ValueCountFrequency (%) 
63571< 0.1%
 
63031< 0.1%
 
59881< 0.1%
 
57781< 0.1%
 
56861< 0.1%
 
56681< 0.1%
 
56621< 0.1%
 
55721< 0.1%
 
54931< 0.1%
 
54861< 0.1%
 

A11
Real number (ℝ)

Distinct count3786
Unique (%)51.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean215.6977027027027
Minimum-7803.0
Maximum7208.0
Zeros7
Zeros (%)0.1%
Memory size57.9 KiB
2020-08-25T01:48:14.382649image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-7803
5-th percentile-2442.05
Q1-534
median172
Q31116
95-th percentile2565.05
Maximum7208
Range15011
Interquartile range (IQR)1650

Descriptive statistics

Standard deviation1516.860513
Coefficient of variation (CV)7.032344315
Kurtosis1.610942224
Mean215.6977027
Median Absolute Deviation (MAD)837.5
Skewness-0.2564989747
Sum1596163
Variance2300865.817
2020-08-25T01:48:14.491721image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
112120.2%
 
2110.1%
 
5100.1%
 
6100.1%
 
-25290.1%
 
1790.1%
 
-390.1%
 
3390.1%
 
-8390.1%
 
5690.1%
 
990.1%
 
1390.1%
 
-63880.1%
 
-2580.1%
 
17180.1%
 
4280.1%
 
180.1%
 
-6480.1%
 
-3680.1%
 
10480.1%
 
5180.1%
 
2680.1%
 
880.1%
 
11680.1%
 
7470.1%
 
Other values (3761)718297.1%
 
ValueCountFrequency (%) 
-78031< 0.1%
 
-76211< 0.1%
 
-69121< 0.1%
 
-64951< 0.1%
 
-62921< 0.1%
 
-62741< 0.1%
 
-60461< 0.1%
 
-60241< 0.1%
 
-58771< 0.1%
 
-58381< 0.1%
 
ValueCountFrequency (%) 
72081< 0.1%
 
66381< 0.1%
 
65571< 0.1%
 
59971< 0.1%
 
56521< 0.1%
 
56411< 0.1%
 
55981< 0.1%
 
55771< 0.1%
 
55751< 0.1%
 
55721< 0.1%
 

A15
Real number (ℝ)

Distinct count3745
Unique (%)50.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean221.18540540540542
Minimum-7342.0
Maximum7372.0
Zeros1
Zeros (%)< 0.1%
Memory size57.9 KiB
2020-08-25T01:48:14.614674image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-7342
5-th percentile-2366.25
Q1-508.25
median173
Q31107.25
95-th percentile2635.05
Maximum7372
Range14714
Interquartile range (IQR)1615.5

Descriptive statistics

Standard deviation1505.873138
Coefficient of variation (CV)6.808193944
Kurtosis1.631955961
Mean221.1854054
Median Absolute Deviation (MAD)823
Skewness-0.2103522728
Sum1636772
Variance2267653.907
2020-08-25T01:48:14.724236image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1160.2%
 
9120.2%
 
3110.1%
 
88100.1%
 
-98100.1%
 
7100.1%
 
105100.1%
 
4690.1%
 
2890.1%
 
280.1%
 
9280.1%
 
-280.1%
 
8480.1%
 
30880.1%
 
-180.1%
 
1780.1%
 
12480.1%
 
11580.1%
 
5780.1%
 
-3380.1%
 
1680.1%
 
7670.1%
 
6770.1%
 
11370.1%
 
16370.1%
 
Other values (3720)717997.0%
 
ValueCountFrequency (%) 
-73421< 0.1%
 
-63161< 0.1%
 
-62371< 0.1%
 
-60931< 0.1%
 
-59821< 0.1%
 
-59011< 0.1%
 
-57221< 0.1%
 
-57171< 0.1%
 
-56831< 0.1%
 
-56422< 0.1%
 
ValueCountFrequency (%) 
73721< 0.1%
 
66721< 0.1%
 
63481< 0.1%
 
61581< 0.1%
 
60331< 0.1%
 
59821< 0.1%
 
59721< 0.1%
 
58421< 0.1%
 
58171< 0.1%
 
57261< 0.1%
 

target
Boolean

Distinct count2
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size57.9 KiB
1
3736
0
3664
ValueCountFrequency (%) 
1373650.5%
 
0366449.5%
 

Interactions

2020-08-25T01:47:12.437818image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:12.586282image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:12.736988image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:12.892008image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:13.046467image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:13.196267image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:13.342605image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:13.492208image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:13.637347image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:13.787427image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:13.958599image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:14.110381image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:14.268150image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:14.420173image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:14.570282image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:14.725219image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:14.877346image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:15.021466image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:15.172577image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T01:47:48.005272image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:48.158681image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:48.313417image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:48.471900image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:48.619101image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:48.765273image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:48.914276image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:49.065084image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:49.208870image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:49.354002image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:49.686669image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:49.831305image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:49.975632image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:50.121364image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:50.265759image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:50.419399image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:50.561828image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:50.708552image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:50.852523image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:50.993875image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:51.144418image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:51.286624image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:51.436110image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:51.587301image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:51.739261image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:51.887547image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:52.039610image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:52.188538image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:52.335157image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:52.490555image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:52.642595image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:52.790893image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:52.944940image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:53.100831image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:53.256552image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:53.407905image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:53.561571image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:53.718147image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:53.869773image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:54.019425image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:54.362050image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:54.521787image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:54.665119image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:54.811660image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:54.956399image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:55.097821image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:55.242999image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:55.395361image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:55.554310image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:55.696081image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:55.845290image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:55.990631image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:56.140547image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:56.302340image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:56.447437image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:56.604324image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:56.796581image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:56.983473image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:57.126935image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:57.275338image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:57.426244image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:57.568517image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:57.713301image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:57.859795image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:57.999945image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:58.141724image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:58.279001image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:58.421210image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:58.567824image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:58.712788image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:58.854460image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:59.196601image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:59.342828image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:59.485909image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:59.634133image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:59.777601image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:47:59.920918image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:48:00.066976image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:48:00.220635image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:48:00.371103image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:48:00.517955image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:48:00.661730image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:48:00.802903image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:48:00.947399image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:48:01.099419image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:48:01.243260image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:48:01.388729image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:48:01.533763image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:48:01.685295image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:48:01.833695image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:48:01.982848image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:48:02.134155image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:48:02.275944image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:48:02.421170image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:48:02.563377image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:48:02.705429image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:48:02.847060image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:48:02.992976image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:48:03.153079image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:48:03.300197image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:48:03.457574image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:48:03.609060image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:48:03.947867image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:48:04.106292image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:48:04.269570image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:48:04.422160image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:48:04.572898image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:48:04.725401image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:48:04.873502image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:48:05.025226image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:48:05.184993image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:48:05.337816image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:48:05.489210image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:48:05.645288image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:48:05.794019image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:48:05.939242image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:48:06.097873image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:48:06.257956image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:48:06.407449image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:48:06.564175image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:48:06.722643image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:48:06.886425image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:48:07.055416image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:48:07.208961image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:48:07.360622image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:48:07.512811image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:48:07.668513image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:48:07.833497image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:48:07.991141image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:48:08.152877image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:48:08.306880image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:48:08.469647image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:48:08.807109image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:48:08.970233image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:48:09.123947image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:48:09.284578image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Correlations

2020-08-25T01:48:14.884184image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-08-25T01:48:15.188021image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-08-25T01:48:15.482751image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-08-25T01:48:15.788221image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2020-08-25T01:48:09.617455image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:48:10.088635image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Sample

First rows

A1A18A16A2A9A6A12A4A19A17A14A3A10A20A5A13A8A11A15target
0849.01664.0-166.02177.01578.0-3406.01633.01689.0309.0578.01081.0598.0-181.0-3028.03114.04664.0-2642.0-212.0-1172.00
1947.0-1422.01008.0543.01604.01316.0-382.0-449.0-606.02687.0608.0782.01686.02374.0-8.01259.0-61.0264.0-2292.01
2759.079.01431.0-314.0-489.01117.0112.0-1743.01123.0-336.0474.0898.0-144.0302.02003.0598.0136.0982.02026.01
3531.0-476.01216.01374.01083.0-4.01063.01226.06.0916.0587.0517.0888.0-477.01122.02454.02277.0-111.0-744.01
4-1443.0-944.04097.01065.0971.0-786.04195.0207.0-602.01356.0-2694.02071.0-341.02348.0-865.0-117.0-366.0221.014.00
5-258.0-1042.0-1953.0-4696.0-62.0-557.01299.06469.01835.0-1007.061.0-519.01813.0-1196.0-1878.0-1926.05572.0499.0-2941.00
6-636.01566.0114.0-222.01887.0-559.01538.0688.0-517.0314.0-993.0-3034.04408.0-938.01388.0222.01163.0-3277.0412.00
71144.01629.0109.0346.01299.01337.0-32.0112.0-81.0-242.0-434.077.0-6.0-572.0146.0398.023.0-801.01956.01
81839.051.076.03036.02188.0-503.01662.0394.041.0638.0951.0-11.0693.0837.0188.0619.0-682.01115.01568.01
9-656.0-2894.01452.0-1706.01193.01934.01305.0-293.0-151.0-1402.0179.04477.0-277.0126.0-432.0-2008.0672.02025.0-1327.00

Last rows

A1A18A16A2A9A6A12A4A19A17A14A3A10A20A5A13A8A11A15target
73901068.01668.01477.0-804.015.0318.0911.0-286.0764.01467.0103.011.0817.0-237.0-74.0999.01043.0104.0684.01
739153.01361.01364.0-736.034.029.0-1121.069.0228.01983.01184.0-206.02246.01124.0645.0235.0926.0135.0671.01
73921122.079.0252.0-1387.0456.0662.02218.0457.0-292.0129.0-9.0219.01358.01321.0-145.0-1443.0-147.01394.02172.01
739382.0-2158.01618.064.0-1903.0-451.0-3059.0-2534.0298.0-1065.0-154.0-733.011.0-14.0-1901.0-1244.0-1654.0404.0-1679.00
7394-2444.02006.099.01113.0124.0-4262.0-4302.037.01927.017.0-1744.0-2728.02168.0578.01655.0963.01265.0-43.01791.00
7395607.0-509.0-413.01539.0653.0-1.0783.01378.01423.0136.01264.0139.0-631.01142.0-2178.01106.02064.0257.057.01
7396-122.01505.0-5735.0-1654.01998.0-463.0-1856.0278.0-1098.0173.04604.0-395.02278.0-5196.0-193.0136.037.0-653.0-1117.00
7397-1854.02871.01051.01225.02946.0-3922.02214.0-351.0-3462.0-2244.0-1152.0-2469.01463.01619.01193.0-1199.03565.0-1851.0-1815.00
73982604.0606.0157.0-1541.0-27.0-1004.045.0-742.0573.0602.0-635.01298.033.0-751.0-238.0241.01056.0-281.01274.01
7399-239.0-2969.0-277.0472.0-922.0594.01477.0-1672.0-132.0-3445.0777.02795.0-1783.03362.0-802.03247.0336.0736.01298.00